Google Professional-Data-Engineer

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The benefit of obtaining the Google Professional Data Engineer Exam Certification

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A data engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A data engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

This course will show you how to manage big data including loading, extracting, cleaning, and validating data. At the end of the training, you can easily create machine learning and statistical models as well as visualizing query results. This program is a bit lengthy but you have to practice well to get the knowledge needed on the actual exam. These are the following modules covered in the course:

• Introduction to Processing Streaming Data
• Creating a Data Lake
• Cloud Dataflow Streaming Features
• Production ML Pipelines and use of Kubeflow
• Custom Model building Utilizing Cloud AutoML
• Introduction to Data Engineering
• Performing Spark on Cloud Dataproc
• Bigtable Streaming Features and High-Throughput BigQuery
• Advanced BigQuery Performance and Functionality
• Serverless Data Processing with Cloud Dataflow
• Big Data Analytics with Cloud Al Platform Notebook
• Introduction to Building Batch Data Pipelines
• Custom Model building Using SQL in BigQuery ML
• Prebuilt ML Models APIs for Unsaturated Data
• Serverless Messaging Using Cloud Sub/Pub
• Handling Data Pipelines with Cloud Composer and Cloud Data Fusion
• Building a Data Warehouse

These modules involve everything the candidate requires for passing the Professional Data Engineer certification exam. Thus, you will not miss anything if you are taking this learning program keenly and apply the required knowledge in an appropriate way. You would end up getting a good score and achieving the Google Professional Data Engineer certification.

Reference: https://cloud.google.com/certification/data-engineer

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This course is normally taken by data scientists, data analysts, and business analysts who are in the field of Google Сloud. It is a good way to prepare for your final exam because it teaches you all the details including 7 modules that cover all the Professional Data Engineer exam objectives:

• Data Processing Architectures
• Introducing Google Cloud Platform ‘
• Additional Resources
• Scaling Data Analytics
• Compute and Storage Fundamentals
• Machine Learning
• Data Analytics on the Cloud

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